Literature DB >> 22960000

Detecting trends in tree growth: not so simple.

David M J S Bowman1, Roel J W Brienen, Emanuel Gloor, Oliver L Phillips, Lynda D Prior.   

Abstract

Tree biomass influences biogeochemical cycles, climate, and biodiversity across local to global scales. Understanding the environmental control of tree biomass demands consideration of the drivers of individual tree growth over their lifespan. This can be achieved by studies of tree growth in permanent sample plots (prospective studies) and tree ring analyses (retrospective studies). However, identification of growth trends and attribution of their drivers demands statistical control of the axiomatic co-variation of tree size and age, and avoiding sampling biases at the stand, forest, and regional scales. Tracking and predicting the effects of environmental change on tree biomass requires well-designed studies that address the issues that we have reviewed.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22960000     DOI: 10.1016/j.tplants.2012.08.005

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  22 in total

1.  Size-growth asymmetry is not consistently related to productivity across an eastern US temperate forest network.

Authors:  Alex Dye; M Ross Alexander; Daniel Bishop; Daniel Druckenbrod; Neil Pederson; Amy Hessl
Journal:  Oecologia       Date:  2018-12-04       Impact factor: 3.225

2.  Regional height growth models for Scots pine in Poland.

Authors:  Jarosław Socha; Luiza Tymińska-Czabańska; Karol Bronisz; Stanisław Zięba; Paweł Hawryło
Journal:  Sci Rep       Date:  2021-05-14       Impact factor: 4.379

3.  Differential growth responses to water balance of coexisting deciduous tree species are linked to wood density in a Bolivian tropical dry forest.

Authors:  Hooz A Mendivelso; J Julio Camarero; Oriol Royo Obregón; Emilia Gutiérrez; Marisol Toledo
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

4.  Extracting coherent tree-ring climatic signals across spatial scales from extensive forest inventory data.

Authors:  Louis Duchesne; Loïc D'Orangeville; Rock Ouimet; Daniel Houle; Daniel Kneeshaw
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

5.  Size Matters a Lot: Drought-Affected Italian Oaks Are Smaller and Show Lower Growth Prior to Tree Death.

Authors:  Michele Colangelo; Jesús J Camarero; Marco Borghetti; Antonio Gazol; Tiziana Gentilesca; Francesco Ripullone
Journal:  Front Plant Sci       Date:  2017-02-21       Impact factor: 5.753

6.  Among-tree variability and feedback effects result in different growth responses to climate change at the upper treeline in the Swiss Alps.

Authors:  Matthias Jochner; Harald Bugmann; Magdalena Nötzli; Christof Bigler
Journal:  Ecol Evol       Date:  2017-08-30       Impact factor: 2.912

7.  Dissecting the space-time structure of tree-ring datasets using the partial triadic analysis.

Authors:  Jean-Pierre Rossi; Maxime Nardin; Martin Godefroid; Manuela Ruiz-Diaz; Anne-Sophie Sergent; Alejandro Martinez-Meier; Luc Pâques; Philippe Rozenberg
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

8.  Trade-Offs between Growth Rate, Tree Size and Lifespan of Mountain Pine (Pinus montana) in the Swiss National Park.

Authors:  Christof Bigler
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

9.  Neighbourhood interactions drive overyielding in mixed-species tree communities.

Authors:  Andreas Fichtner; Werner Härdtle; Helge Bruelheide; Matthias Kunz; Ying Li; Goddert von Oheimb
Journal:  Nat Commun       Date:  2018-03-20       Impact factor: 14.919

10.  Multilevel analysis of dendroclimatic series with the R-package BIOdry.

Authors:  Wilson Lara; Stella Bogino; Felipe Bravo
Journal:  PLoS One       Date:  2018-05-17       Impact factor: 3.240

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